Since the launch of #DeepSeek, I have been evaluating different use cases across various domains and technology stacks. However, as of writing this post, I must say I am disappointed with its chat portal—though I am amazed by the R1 capabilities described in the paper. Now, coming to a sample comparison with #ChatGPT GPT-4o—I am still impressed with OpenAI’s efficiency. My query was: “Write a C# program in the most complex way possible to find the sum of two numbers.” DeepSeek Chat, as has been the case recently, showed busy servers, and after several attempts, I finally received a response…
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Solutions are always tailored to specific problems. There’s no one-size-fits-all approach. The techniques vary depending on needs like the level of customization, available data sources, and system complexity. The strategy should be based on these factors. Here are a few alternative approaches we can consider, if RAG is optional: Embedding-Based Search with Pretrained Models: This is a relatively easy approach to implement, but it doesn’t offer the same capabilities as RAG. It works well when simple retrieval is enough and there’s no need for complex reasoning. – Knowledge Graphs with AI Integration: Best for situations where structured reasoning and relationships…
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I’m happy to share that I’ve obtained a new certification: AI for Product Management from Pendo.io! Verify: https://www.credly.com/badges/10e7acce-1f49-49f4-b348-33e3568f7c29/public_url
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This is a screen recording demonstrating how to create a basic Open AI instance in Azure Portal.